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Release 6.1.1 #1365

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merged 7 commits into from
Oct 9, 2024
Merged

Release 6.1.1 #1365

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98f646c
Upgrade schema-ddl to 0.25.0
oguzhanunlu Sep 25, 2024
10fc5e8
Use lookupSchemasUntil function instead of listSchemasLike function
spenes Sep 20, 2024
b2dbafb
Transformer Stream: don't use hard-coded window timestamps in the tests
spenes Sep 23, 2024
23c1feb
Create migration for only max schema key of the same schema model
spenes Oct 2, 2024
d540e99
Fix NPEs in TypesAccumulator
istreeter Oct 4, 2024
84646ad
Upgrade dependencies to fix some vulnerabilites
spenes Oct 7, 2024
0b447df
Prepare for 6.1.1 release
spenes Oct 9, 2024
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9 changes: 9 additions & 0 deletions CHANGELOG
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@@ -1,3 +1,12 @@
Version 6.1.1 (2024-10-09)
--------------------------
Upgrade dependencies to fix some vulnerabilites (#1364)
Fix NPEs in TypesAccumulator (#1363)
Create migration for only max schema key of the same schema model (#1360)
Transformer Stream: don't use hard-coded window timestamps in the tests (#1360)
Use lookupSchemasUntil function instead of listSchemasLike function (#1360)
Upgrade schema-ddl to 0.25.0 (#1362)

Version 6.1.0 (2024-08-23)
--------------------------
Stop publishing fat jars to GH
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -66,7 +66,7 @@ Licensed under the [Snowplow Limited Use License Agreement][license]. _(If you a
[build-image]: https://github.com/snowplow/snowplow-rdb-loader/workflows/CI/badge.svg
[build]: https://github.com/snowplow/snowplow-rdb-loader/actions/workflows/ci.yml

[release-image]: https://img.shields.io/badge/release-6.1.0-blue.svg?style=flat
[release-image]: https://img.shields.io/badge/release-6.1.1-blue.svg?style=flat
[releases]: https://github.com/snowplow/snowplow-rdb-loader/releases

[license]: https://docs.snowplow.io/limited-use-license-1.0
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9 changes: 5 additions & 4 deletions build.sbt
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Expand Up @@ -18,10 +18,11 @@
* 3. For now, we ignore the reported binary incompatibilities because testing shows it is safe.
*/
ThisBuild / libraryDependencySchemes ++= Seq(
"io.circe" %% "circe-core" % "always",
"io.circe" %% "circe-generic" % "always",
"io.circe" %% "circe-parser" % "always",
"io.circe" %% "circe-jawn" % "always"
"io.circe" %% "circe-core" % "always",
"io.circe" %% "circe-generic" % "always",
"io.circe" %% "circe-parser" % "always",
"io.circe" %% "circe-jawn" % "always",
"com.github.luben" % "zstd-jni" % "semver-spec"
)

lazy val root = project
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2 changes: 1 addition & 1 deletion ...a/com/snowplowanalytics/snowplow/rdbloader/transformer/stream/common/parquet/Codecs.scala
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Expand Up @@ -50,7 +50,7 @@ private[parquet] object Codecs {
case FieldValue.DateValue(value) =>
as[Date](value)
case FieldValue.ArrayValue(values) =>
as[List[FieldValue]](values)
as[Vector[FieldValue]](values)
case FieldValue.StructValue(values) =>
values
.foldLeft[RowParquetRecord](RowParquetRecord()) { case (acc, NamedValue(name, value)) =>
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2 changes: 1 addition & 1 deletion ...nowplowanalytics/snowplow/rdbloader/transformer/stream/common/parquet/ParquetSchema.scala
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Expand Up @@ -70,6 +70,6 @@ private[parquet] object ParquetSchema {
val listElement = asParquetType(element).withRequired(elementNullability.required)
SchemaDef.list(listElement)
case Type.Struct(subFields) =>
SchemaDef.group(subFields.map(asParquetField): _*)
SchemaDef.group(subFields.map(asParquetField).toVector: _*)
}
}
6 changes: 3 additions & 3 deletions ...n-transformer-stream/src/test/resources/processing-spec/1/output/good/tsv/completion.json
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{
"schema": "iglu:com.snowplowanalytics.snowplow.storage.rdbloader/shredding_complete/jsonschema/2-0-1",
"data": {
"base": "output_path_placeholder/run=1970-01-01-10-30-00/",
"base": "output_path_placeholder",
"typesInfo": {
"transformation": "SHREDDED",
"types": [
Expand Down Expand Up @@ -113,8 +113,8 @@
]
},
"timestamps": {
"jobStarted": "1970-01-01T10:30:00Z",
"jobCompleted": "1970-01-01T10:30:00Z",
"jobStarted": "job_started_placeholder",
"jobCompleted": "job_completed_placeholder",
"min": "2021-10-13T20:21:47.595072674Z",
"max": "2021-10-15T00:51:57.521746512Z"
},
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6 changes: 3 additions & 3 deletions ...ansformer-stream/src/test/resources/processing-spec/1/output/good/widerow/completion.json
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{
"schema": "iglu:com.snowplowanalytics.snowplow.storage.rdbloader/shredding_complete/jsonschema/2-0-1",
"data": {
"base": "output_path_placeholder/run=1970-01-01-10-30-00/",
"base": "output_path_placeholder",
"typesInfo": {
"transformation": "WIDEROW",
"fileFormat": "JSON",
Expand Down Expand Up @@ -93,8 +93,8 @@
]
},
"timestamps": {
"jobStarted": "1970-01-01T10:30:00Z",
"jobCompleted": "1970-01-01T10:30:00Z",
"jobStarted": "job_started_placeholder",
"jobCompleted": "job_completed_placeholder",
"min": "2021-10-13T20:21:47.595072674Z",
"max": "2021-10-15T00:51:57.521746512Z"
},
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2 changes: 1 addition & 1 deletion modules/common-transformer-stream/src/test/resources/processing-spec/3/output/bad
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{"schema":"iglu:com.snowplowanalytics.snowplow.badrows/loader_iglu_error/jsonschema/2-0-0","data":{"processor":{"artifact":"snowplow-transformer-kinesis","version":"version_placeholder"},"failure":[{"schemaCriterion":"iglu:org.schema/some_unknown_name/jsonschema/1-*-*","error":{"error":"ResolutionError","lookupHistory":[{"repository":"Iglu Client Embedded","errors":[{"error":"NotFound"}],"attempts":1,"lastAttempt":"1970-01-01T10:30:00Z"}]}}],"payload":{"app_id":"snowplowweb","platform":"web","etl_tstamp":"2014-06-01T14:04:11.639Z","collector_tstamp":"2014-05-29T18:16:35Z","dvce_created_tstamp":"2014-05-29T18:04:11.639Z","event":"page_view","event_id":"2b1b25a4-c0df-4859-8201-cf21492ad61b","txn_id":836413,"name_tracker":"clojure","v_tracker":"js-2.0.0-M2","v_collector":"clj-0.6.0-tom-0.0.4","v_etl":"hadoop-0.5.0-common-0.4.0","user_id":null,"user_ipaddress":"216.207.42.134","user_fingerprint":"3499345421","domain_userid":"3b1d1a375044eede","domain_sessionidx":3,"network_userid":"2bad2a4e-aae4-4bea-8acd-399e7fe0366a","geo_country":"US","geo_region":"CA","geo_city":"South San Francisco","geo_zipcode":null,"geo_latitude":37.654694,"geo_longitude":-122.4077,"geo_region_name":null,"ip_isp":null,"ip_organization":null,"ip_domain":null,"ip_netspeed":null,"page_url":"http://snowplowanalytics.com/blog/2013/02/08/writing-hive-udfs-and-serdes/","page_title":"Writing Hive UDFs - a tutorial","page_referrer":null,"page_urlscheme":"http","page_urlhost":"snowplowanalytics.com","page_urlport":80,"page_urlpath":"/blog/2013/02/08/writing-hive-udfs-and-serdes/","page_urlquery":null,"page_urlfragment":null,"refr_urlscheme":null,"refr_urlhost":null,"refr_urlport":null,"refr_urlpath":null,"refr_urlquery":null,"refr_urlfragment":null,"refr_medium":null,"refr_source":null,"refr_term":null,"mkt_medium":null,"mkt_source":null,"mkt_term":null,"mkt_content":null,"mkt_campaign":null,"contexts":{},"se_category":null,"se_action":null,"se_label":null,"se_property":null,"se_value":null,"unstruct_event":null,"tr_orderid":null,"tr_affiliation":null,"tr_total":null,"tr_tax":null,"tr_shipping":null,"tr_city":null,"tr_state":null,"tr_country":null,"ti_orderid":null,"ti_sku":null,"ti_name":null,"ti_category":null,"ti_price":null,"ti_quantity":null,"pp_xoffset_min":null,"pp_xoffset_max":null,"pp_yoffset_min":null,"pp_yoffset_max":null,"useragent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.75.14 (KHTML, like Gecko) Version/7.0.3 Safari/537.75.14","br_name":"Safari","br_family":"Safari","br_version":null,"br_type":"Browser","br_renderengine":"WEBKIT","br_lang":"en-us","br_features_pdf":false,"br_features_flash":false,"br_features_java":false,"br_features_director":false,"br_features_quicktime":false,"br_features_realplayer":false,"br_features_windowsmedia":false,"br_features_gears":false,"br_features_silverlight":false,"br_cookies":true,"br_colordepth":"24","br_viewwidth":1440,"br_viewheight":1845,"os_name":"Mac OS","os_family":"Mac OS","os_manufacturer":"Apple Inc.","os_timezone":"America/Los_Angeles","dvce_type":"Computer","dvce_ismobile":false,"dvce_screenwidth":1440,"dvce_screenheight":900,"doc_charset":"UTF-8","doc_width":1440,"doc_height":6015,"tr_currency":null,"tr_total_base":null,"tr_tax_base":null,"tr_shipping_base":null,"ti_currency":null,"ti_price_base":null,"base_currency":null,"geo_timezone":null,"mkt_clickid":null,"mkt_network":null,"etl_tags":null,"dvce_sent_tstamp":null,"refr_domain_userid":null,"refr_dvce_tstamp":null,"derived_contexts":{"schema":"iglu:com.snowplowanalytics.snowplow/contexts/jsonschema/1-0-0","data":[{"schema":"iglu:org.schema/some_unknown_name/jsonschema/1-0-0","data":{"datePublished":"2014-07-23T00:00:00Z","author":"Jonathan Almeida","inLanguage":"en-US","genre":"blog","breadcrumb":["blog","releases"],"keywords":["snowplow","analytics","java","jvm","tracker"]}}]},"domain_sessionid":null,"derived_tstamp":null,"event_vendor":null,"event_name":null,"event_format":null,"event_version":null,"event_fingerprint":null,"true_tstamp":null}}}
{"schema":"iglu:com.snowplowanalytics.snowplow.badrows/loader_iglu_error/jsonschema/2-0-0","data":{"processor":{"artifact":"snowplow-transformer-kinesis","version":"version_placeholder"},"failure":[{"schemaKey":"iglu:org.schema/some_unknown_name/jsonschema/1-0-0","error":{"error":"ResolutionError","lookupHistory":[{"repository":"Iglu Client Embedded","errors":[{"error":"NotFound"}],"attempts":1,"lastAttempt":""}]}}],"payload":{"app_id":"snowplowweb","platform":"web","etl_tstamp":"2014-06-01T14:04:11.639Z","collector_tstamp":"2014-05-29T18:16:35Z","dvce_created_tstamp":"2014-05-29T18:04:11.639Z","event":"page_view","event_id":"2b1b25a4-c0df-4859-8201-cf21492ad61b","txn_id":836413,"name_tracker":"clojure","v_tracker":"js-2.0.0-M2","v_collector":"clj-0.6.0-tom-0.0.4","v_etl":"hadoop-0.5.0-common-0.4.0","user_id":null,"user_ipaddress":"216.207.42.134","user_fingerprint":"3499345421","domain_userid":"3b1d1a375044eede","domain_sessionidx":3,"network_userid":"2bad2a4e-aae4-4bea-8acd-399e7fe0366a","geo_country":"US","geo_region":"CA","geo_city":"South San Francisco","geo_zipcode":null,"geo_latitude":37.654694,"geo_longitude":-122.4077,"geo_region_name":null,"ip_isp":null,"ip_organization":null,"ip_domain":null,"ip_netspeed":null,"page_url":"http://snowplowanalytics.com/blog/2013/02/08/writing-hive-udfs-and-serdes/","page_title":"Writing Hive UDFs - a tutorial","page_referrer":null,"page_urlscheme":"http","page_urlhost":"snowplowanalytics.com","page_urlport":80,"page_urlpath":"/blog/2013/02/08/writing-hive-udfs-and-serdes/","page_urlquery":null,"page_urlfragment":null,"refr_urlscheme":null,"refr_urlhost":null,"refr_urlport":null,"refr_urlpath":null,"refr_urlquery":null,"refr_urlfragment":null,"refr_medium":null,"refr_source":null,"refr_term":null,"mkt_medium":null,"mkt_source":null,"mkt_term":null,"mkt_content":null,"mkt_campaign":null,"contexts":{},"se_category":null,"se_action":null,"se_label":null,"se_property":null,"se_value":null,"unstruct_event":null,"tr_orderid":null,"tr_affiliation":null,"tr_total":null,"tr_tax":null,"tr_shipping":null,"tr_city":null,"tr_state":null,"tr_country":null,"ti_orderid":null,"ti_sku":null,"ti_name":null,"ti_category":null,"ti_price":null,"ti_quantity":null,"pp_xoffset_min":null,"pp_xoffset_max":null,"pp_yoffset_min":null,"pp_yoffset_max":null,"useragent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.75.14 (KHTML, like Gecko) Version/7.0.3 Safari/537.75.14","br_name":"Safari","br_family":"Safari","br_version":null,"br_type":"Browser","br_renderengine":"WEBKIT","br_lang":"en-us","br_features_pdf":false,"br_features_flash":false,"br_features_java":false,"br_features_director":false,"br_features_quicktime":false,"br_features_realplayer":false,"br_features_windowsmedia":false,"br_features_gears":false,"br_features_silverlight":false,"br_cookies":true,"br_colordepth":"24","br_viewwidth":1440,"br_viewheight":1845,"os_name":"Mac OS","os_family":"Mac OS","os_manufacturer":"Apple Inc.","os_timezone":"America/Los_Angeles","dvce_type":"Computer","dvce_ismobile":false,"dvce_screenwidth":1440,"dvce_screenheight":900,"doc_charset":"UTF-8","doc_width":1440,"doc_height":6015,"tr_currency":null,"tr_total_base":null,"tr_tax_base":null,"tr_shipping_base":null,"ti_currency":null,"ti_price_base":null,"base_currency":null,"geo_timezone":null,"mkt_clickid":null,"mkt_network":null,"etl_tags":null,"dvce_sent_tstamp":null,"refr_domain_userid":null,"refr_dvce_tstamp":null,"derived_contexts":{"schema":"iglu:com.snowplowanalytics.snowplow/contexts/jsonschema/1-0-0","data":[{"schema":"iglu:org.schema/some_unknown_name/jsonschema/1-0-0","data":{"datePublished":"2014-07-23T00:00:00Z","author":"Jonathan Almeida","inLanguage":"en-US","genre":"blog","breadcrumb":["blog","releases"],"keywords":["snowplow","analytics","java","jvm","tracker"]}}]},"domain_sessionid":null,"derived_tstamp":null,"event_vendor":null,"event_name":null,"event_format":null,"event_version":null,"event_fingerprint":null,"true_tstamp":null}}}
6 changes: 3 additions & 3 deletions ...les/common-transformer-stream/src/test/resources/processing-spec/3/output/completion.json
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@@ -1,14 +1,14 @@
{
"schema": "iglu:com.snowplowanalytics.snowplow.storage.rdbloader/shredding_complete/jsonschema/2-0-1",
"data": {
"base": "output_path_placeholder/run=1970-01-01-10-30-00/",
"base": "output_path_placeholder",
"typesInfo": {
"transformation": "SHREDDED",
"types": []
},
"timestamps": {
"jobStarted": "1970-01-01T10:30:00Z",
"jobCompleted": "1970-01-01T10:30:00Z",
"jobStarted": "job_started_placeholder",
"jobCompleted": "job_completed_placeholder",
"min": "2014-05-29T18:16:35Z",
"max": "2014-05-29T18:16:35Z"
},
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6 changes: 3 additions & 3 deletions ...ansformer-stream/src/test/resources/processing-spec/4/output/good/parquet/completion.json
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{
"schema": "iglu:com.snowplowanalytics.snowplow.storage.rdbloader/shredding_complete/jsonschema/2-0-1",
"data": {
"base": "output_path_placeholder/run=1970-01-01-10-30-00/",
"base": "output_path_placeholder",
"typesInfo": {
"transformation": "WIDEROW",
"fileFormat": "PARQUET",
Expand Down Expand Up @@ -93,8 +93,8 @@
]
},
"timestamps": {
"jobStarted": "1970-01-01T10:30:00Z",
"jobCompleted": "1970-01-01T10:30:00Z",
"jobStarted": "job_started_placeholder",
"jobCompleted": "job_completed_placeholder",
"min": "2021-09-17T09:05:28.590000001Z",
"max": "2021-10-15T09:06:27.101185600Z"
},
Expand Down
6 changes: 3 additions & 3 deletions ...ansformer-stream/src/test/resources/processing-spec/5/output/good/parquet/completion.json
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{
"schema": "iglu:com.snowplowanalytics.snowplow.storage.rdbloader/shredding_complete/jsonschema/2-0-1",
"data": {
"base": "output_path_placeholder/run=1970-01-01-10-30-00/",
"base": "output_path_placeholder",
"typesInfo": {
"transformation": "WIDEROW",
"fileFormat": "PARQUET",
Expand Down Expand Up @@ -105,8 +105,8 @@
]
},
"timestamps": {
"jobStarted": "1970-01-01T10:30:00Z",
"jobCompleted": "1970-01-01T10:30:00Z",
"jobStarted": "job_started_placeholder",
"jobCompleted": "job_completed_placeholder",
"min": "2022-02-01T22:14:21.648Z",
"max": "2022-02-02T01:01:01.648Z"
},
Expand Down
6 changes: 3 additions & 3 deletions ...ansformer-stream/src/test/resources/processing-spec/6/output/good/parquet/completion.json
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{
"schema": "iglu:com.snowplowanalytics.snowplow.storage.rdbloader/shredding_complete/jsonschema/2-0-1",
"data": {
"base": "output_path_placeholder/run=1970-01-01-10-30-00/",
"base": "output_path_placeholder",
"typesInfo": {
"transformation": "WIDEROW",
"fileFormat": "PARQUET",
Expand Down Expand Up @@ -101,8 +101,8 @@
]
},
"timestamps": {
"jobStarted": "1970-01-01T10:30:00Z",
"jobCompleted": "1970-01-01T10:30:00Z",
"jobStarted": "job_started_placeholder",
"jobCompleted": "job_completed_placeholder",
"min": "2022-02-01T22:14:21.648Z",
"max": "2022-02-02T01:01:01.648Z"
},
Expand Down
6 changes: 3 additions & 3 deletions ...ansformer-stream/src/test/resources/processing-spec/7/output/good/parquet/completion.json
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{
"schema": "iglu:com.snowplowanalytics.snowplow.storage.rdbloader/shredding_complete/jsonschema/2-0-1",
"data": {
"base": "output_path_placeholder/run=1970-01-01-10-30-00/",
"base": "output_path_placeholder",
"typesInfo": {
"transformation": "WIDEROW",
"fileFormat": "PARQUET",
Expand All @@ -21,8 +21,8 @@
]
},
"timestamps": {
"jobStarted": "1970-01-01T10:30:00Z",
"jobCompleted": "1970-01-01T10:30:00Z",
"jobStarted": "job_started_placeholder",
"jobCompleted": "job_completed_placeholder",
"min": "2022-02-01T22:32:41.069Z",
"max": "2022-02-02T01:01:01.648Z"
},
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6 changes: 3 additions & 3 deletions ...les/common-transformer-stream/src/test/resources/processing-spec/8/output/completion.json
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{
"schema": "iglu:com.snowplowanalytics.snowplow.storage.rdbloader/shredding_complete/jsonschema/2-0-1",
"data": {
"base": "output_path_placeholder/run=1970-01-01-10-30-00/",
"base": "output_path_placeholder",
"typesInfo": {
"transformation": "WIDEROW",
"fileFormat": "JSON",
Expand Down Expand Up @@ -93,8 +93,8 @@
]
},
"timestamps": {
"jobStarted": "1970-01-01T10:30:00Z",
"jobCompleted": "1970-01-01T10:31:00Z",
"jobStarted": "job_started_placeholder",
"jobCompleted": "job_completed_placeholder",
"min": "2021-10-13T20:21:47.595072674Z",
"max": "2021-10-15T00:51:57.521746512Z"
},
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26 changes: 24 additions & 2 deletions ...nalytics/snowplow/rdbloader/transformer/stream/common/processing/BaseProcessingSpec.scala
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Expand Up @@ -13,6 +13,9 @@ package com.snowplowanalytics.snowplow.rdbloader.transformer.stream.common.proce
import cats.effect.{IO, Resource}
import cats.effect.kernel.Ref

import io.circe.optics.JsonPath._
import io.circe.parser.{parse => parseCirce}

import com.snowplowanalytics.snowplow.rdbloader.generated.BuildInfo
import com.snowplowanalytics.snowplow.rdbloader.transformer.stream.common.AppId
import com.snowplowanalytics.snowplow.rdbloader.transformer.stream.common.FileUtils
Expand Down Expand Up @@ -58,11 +61,13 @@ trait BaseProcessingSpec extends Specification {
}
.reduce(_ and _)

protected def readMessageFromResource(resource: String, outputRootDirectory: Path) =
protected def readMessageFromResource(resource: String, completionMessageVars: BaseProcessingSpec.CompletionMessageVars) =
readLinesFromResource(resource)
.map(_.mkString)
.map(
_.replace("output_path_placeholder", outputRootDirectory.toNioPath.toUri.toString.replaceAll("/+$", ""))
_.replace("output_path_placeholder", completionMessageVars.base.toNioPath.toUri.toString)
.replace("job_started_placeholder", completionMessageVars.jobStarted)
.replace("job_completed_placeholder", completionMessageVars.jobCompleted)
.replace("version_placeholder", BuildInfo.version)
.replace(" ", "")
)
Expand All @@ -86,6 +91,15 @@ trait BaseProcessingSpec extends Specification {
new String(encoder.encode(config.app.replace("file:/", "s3:/").getBytes))
)
}

def extractCompletionMessageVars(processingOutput: BaseProcessingSpec.ProcessingOutput): BaseProcessingSpec.CompletionMessageVars = {
val message = processingOutput.completionMessages.head
val json = parseCirce(message).toOption.get
val base = root.data.base.string.getOption(json).get.stripPrefix("file://")
val jobStarted = root.data.timestamps.jobStarted.string.getOption(json).get
val jobCompleted = root.data.timestamps.jobCompleted.string.getOption(json).get
BaseProcessingSpec.CompletionMessageVars(Path(base), jobStarted, jobCompleted)
}
}

object BaseProcessingSpec {
Expand All @@ -96,5 +110,13 @@ object BaseProcessingSpec {
badrowsFromQueue: Vector[String],
checkpointed: Int
)
final case class CompletionMessageVars(
base: Path,
jobStarted: String,
jobCompleted: String
) {
def goodPath: Path = Path(s"$base/output=good")
def badPath: Path = Path(s"$base/output=bad")
}

}
10 changes: 5 additions & 5 deletions ...wanalytics/snowplow/rdbloader/transformer/stream/common/processing/QueueBadSinkSpec.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,6 @@
package com.snowplowanalytics.snowplow.rdbloader.transformer.stream.common.processing

import cats.effect.unsafe.implicits.global
import com.snowplowanalytics.snowplow.rdbloader.transformer.stream.common.AppId
import com.snowplowanalytics.snowplow.rdbloader.transformer.stream.common.processing.QueueBadSinkSpec._
import com.snowplowanalytics.snowplow.rdbloader.transformer.stream.common.processing.BaseProcessingSpec.TransformerConfig
import fs2.io.file.Path
Expand Down Expand Up @@ -39,12 +38,12 @@ class QueueBadSinkSpec extends BaseProcessingSpec {
inputEventsPath = "/processing-spec/1/input/events"
)

val config = TransformerConfig(configFromPath(outputDirectory), igluConfig)
val badDirectory = outputDirectory.resolve(s"run=1970-01-01-10-30-00-${AppId.appId}/output=bad")
val config = TransformerConfig(configFromPath(outputDirectory), igluConfig)

for {
output <- process(inputStream, config)
badDirectoryExists <- pathExists(badDirectory)
compVars = extractCompletionMessageVars(output)
badDirectoryExists <- pathExists(compVars.badPath)
expectedBadRows <- readLinesFromResource("/processing-spec/1/output/bad")
} yield {
val actualBadRows = output.badrowsFromQueue.toList
Expand Down Expand Up @@ -98,7 +97,8 @@ object QueueBadSinkSpec {
| "schema": "iglu:com.snowplowanalytics.iglu/resolver-config/jsonschema/1-0-0",
| "data": {
| "cacheSize": 500,
| "repositories": []
| "repositories": [
| ]
| }
|}""".stripMargin
}
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